Form Of Text Research Articles

Implementation of Digital Literacy in Increasing the Learning Independence of Fourth-Grade Students at SDN 1 Krandon

Indonesia is currently entering the 21st century, where almost all activities are side by side with technology, one of which is information that can be published on digital media and can be seen anywhere and at any time. The existence of digitalization, which is widespread throughout the world, gives rise to two opposing sides, namely challenges and opportunities. The use of digital technology can be a good opportunity in the world of education, namely by implementing digital-based literacy as an effort by educators to familiarize themselves with a culture of literacy and familiarize students with using digital technology wisely. With the implementation of digital literacy in schools, students are free to search for information from various sources independently. The aim of this research is to describe the implementation of digital literacy in increasing the learning independence of fourth-grade students at SD N 1 Kradon, describe the supporting and inhibiting factors in the use of digital literacy in increasing the learning independence of fourth-grade students at SD N 1 Kradon, and describe solutions to overcome factors inhibiting the use of literacy. digital in increasing the learning independence of fourth-grade students at SD N 1 Kradon. This research is descriptive qualitative research, which is a research process to understand a phenomenon by creating a comprehensive general picture presented in the form of words. Therefore, the data collected in qualitative research is presented in the form of descriptive text or narrative data. Data collection was carried out through interviews, observation, and documentation. Validity of data using source triangulation and techniques. The data analysis techniques used in this research are data collection, data reduction, data presentation, and drawing conclusions. The results of this research show that the implementation of digital literacy in schools can increase student learning independence. Implementation of digital literacy can increase students' learning motivation, responsibility, initiative, and self-confidence.

A semantic knowledge-based method for home service robot to grasp an object

To help the home service robot grasp an object with the constraints from the object itself, task and environment at the same time, we propose a knowledge-based method. Firstly, we construct five ontologies (object, task, environment, constraint and probabilistic ontology) to represent the five in a unified format. The remarkable things are that the object ontology is part-based and the constraints (grasp type, grasp location, approach direction, opening width, trajectory constraint and grasp force) are throughout the whole grasp process. To reason the constraints out with the findings, we propose a collaborative reasoning mechanism. It contains ontological reasoning, rule-based reasoning and probabilistic reasoning. Secondly, we propose to use SWRL (Semantic Web Rule Language) rules to label the object’s segments with functional parts. For its textual form, this method is fast. Thirdly, JSHOP2 planner is used to make the inferred constraints as the parameters of grasp subactions. Once the subaction list is output, the corresponding executable codes are called. Finally, we use Tiago robot to grasp different objects in different task and environment in our laboratory.

USING MICROSOFT TEAMS IN ONLINE LEARNING OF STUDENTS: METHODICAL ASPECT

The article presents the main tools, methods and techniques for using Microsoft Teams in online teaching of students, as well as detailed methodical recommendations for teachers on organizing the educational process using Microsoft Teams, based on the author’s practical experience. These recommendations allow readers to more easily master the features of working in Teams, which determines the practical value of the article. A model for using Teams in online student learning has been created. It has been found that by using Teams, the teacher can take into account the peculiarities of synchronous and asynchronous ways of submitting assignments by students, as well as the possibility of submitting missed topics of practical classes. Among the main advantages, it is also noted that Teams provides for the creation and posting of the main types of educational materials, including recordings of video lectures, practical tasks and tasks for independent work, current student grades, tests, final grades, etc. The article notes that Teams is well integrated with the main Microsoft 365 applications, including PowerPoint, Word, etc., which is an advantage for the effective organisation of the educational process, as these applications are quite sufficient for teachers to demonstrate presentations at lectures via video conferencing, as well as for them to check the tasks completed by students in the format of text or presentations. Particular attention is paid to identifying the most important features of a teacher's work in Teams, such as the need to create separate teams for each discipline, connecting students to discipline teams using existing corporate university accounts in Microsoft, the ability to post various types of educational materials, commenting and evaluating completed assignments by the teacher. In conclusion, the main advantage of using Microsoft Teams in online learning is the ability to organise the learning process using a single platform. As a result, the structured nature of educational materials using Teams can be one of the most important factors in improving the quality of students' education in online learning.

Students' skills in mathematical word problems and their reading comprehension level: Basis for intervention program (June 2023)

This study aims to investigate the relationship between reading comprehension and solving mathematical word problems. Mathematics can be enjoyable yet challenging for many students. Solving word problems is a common struggle. To solve these problems, students must have strong reading comprehension skills to fully understand the mathematical information presented in text form. The researchers were motivated to conduct the study to ascertain the level of the students' reading comprehension and its impact on their performance in problem-solving. The researchers used a quantitative method in the study. The respondents were Grade 11 Senior High School students in Don Manuel Rivera Memorial Integrated National School, Pila, Laguna. The researchers calculated the sample size using Slovin's Formula which has a 5% margin of error. As a result, the researchers obtained a sample size of 118 Grade 11 students from HUMSS and STEM strand. The researchers used an adapted test questionnaire from the Project Reach Program of DepEd to measure the reading comprehension level of the respondents. On the other hand, the researchers created test questions to measure the skills of the students in solving mathematical word problems. After the data was collected, tallied, and analyzed, results revealed a significant correlation between students' reading comprehension and problem-solving skills at Don Manuel Rivera Memorial Integrated National High School. The majority of the respondents were categorized as "instructional" and "beginner," with a mean of 18.88 and 10.48. Pearson r correlation analysis revealed that pupils’ reading comprehension level is significantly correlated with their problem-solving skills. It means that students who belong to the independent level tend to have higher proficiency in solving mathematical word problems. The researchers created an intervention program in order to improve students' reading comprehension level and problem-solving skills. The researchers came up with the "CompreMath" intervention program. The "CompreMath" intervention program provides a rationale for integrating reading comprehension strategies into mathematics instruction, enabling students to develop a deeper understanding of mathematical concepts, enhance their problem-solving abilities, and make meaningful connections between mathematics and the real world.

PENERAPAN STRATEGI DALAM MENINGKATKAN KEPUASAN KERJA TENAGA PENDIDIK PADA UPT SPF SDI KASSI-KASSI I KECAMATAN RAPPOCINI KOTA MAKASSAR

This research aims to find out how to implement strategies to increase the job satisfaction of teaching staff at UPT SPF SDI Kassi-Kassi I, Rappocini District, Makassar City. This research is descriptive qualitative in nature, trying to describe the research results as they are. Data collection techniques using observation, interviews and documentation. The data obtained is then processed in the form of words or text which is then expressed in descriptive form. The subjects of this research are teaching staff, while the objects of this research are all activities related to implementing strategies to increase job satisfaction of teaching staff at UPT SPF SDI Kassi-Kassi I. The results of this research explain that there are six strategies implemented at UPT SPF SDI Kassi-Kassi I, Rappocini District, Makassar City in increasing the job satisfaction of teaching staff, namely: establishing effective communication between colleagues by communicating all activities that will be held at school, providing opportunities for teachers to take part in training and development, for example bringing in speakers to conduct KKG, reward and appreciation that are given by school principals to teaching staff, conductive working environment conditions characterized by complete learning facilities, but in terms of school security still needed to be improve, paying attention to work-life balance by dividing time so that work demands and personal matters can be carried out well, and finally participation in decision making where teaching staff are always given the opportunity by the school principal to provide input every time a meeting is held. Keywords: Strategy Implementation and Increased Job Satisfaction

Karakteristik Manuskrip Al-Qur`an Koleksi Kesultanan Kutaringin Kotawaringin Barat Kalimantan Tengah

This research aims to uncover the characteristics of the Al-Qur'an manuscripts in the collection of the Sultanate of Kutaringin at the Mangkubumi Palace, with a specific focus on the textual aspect. The characteristics of the mushaf will be identified through the analysis of the verse texts and other related aspects based on the theories within ‘Ulūmul Qur`ān (the sciences of the Qur`an). This research combining a literature-based and a field-based methods. The combination of these methods is necessary when the data is not sufficiently representative to draw conclusive findings. The research design is qualitative, aiming to obtain a comprehensive understanding of this particular aspect. The primary data source of this research is the seventh volume of the mushaf in Mangkubumi Palace and other related secondary data sources. The results of this research indicate that the Qur’an manuscript of Kutaringin Sultanate in Mangkubumi Palace, especially the seventh mushaf have identical characteristics to the style of Ottoman Turkish manuscripts. This showed on the writing of some diacritical mark aspects (ḍabṭ), the markings for dividing of the Qur’an (ḥizb), the calligraphy and the mushaf illumination that clearly using Turkish writing style. This mushaf, written in the early 19th century, was transcribed using a mixed rasm (written form or script of an Arabic calligraphy text) style, namely the rasm ‘uṡmānī and the rasm imlā`ī, and consistently written with the qirā`āt ‘Āṣim riwayat Ḥafṣ.

STUDENTS' CRITICAL THINKING PROCESS IN COMPETITION SCIENTIFIC WORKS

Critical thinking processes are needed in solving problems. In this case, the critical thinking process consists of (1) recognizing the problem, (2) assessing relevant information, and (3) solving the problem/drawing conclusions. Based on this step, this research seeks to describe students' critical thinking processes in scientific work used by students to compete. The critical thinking process in competitive scientific work needs to be carried out so that students can create quality scientific work that is based on critical thinking in solving problems. This research uses a qualitative approach. This research data is in the form of sentences, sentence groups, paragraphs and complete texts which reflect students' critical thinking processes. Data was obtained from student scientific work that was competed outside campus. The research results show that in terms of the critical thinking process, students' scientific work can be categorized into four types, namely (1) scientific work which shows the three stages of the critical thinking process, namely the stages of recognizing problems, assessing relevant information, and solving problems/drawing out problems; (2) scientific work which only consists of the stage of recognizing problems and solving problems/drawing conclusions, (3) scientific work which consists of the stage of recognizing problems and assessing relevant information, and (4) scientific work which consists of the stage of recognizing information. Based on the research results, suggestions can be given to assist students in the critical thinking process so that scientific work is produced with in-depth and accurate discussion so that the scientific work written becomes quality scientific work for competition.

Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study.

As consent for data sharing evolves with the digital age, plain-text consent is not the only format in which information can be presented. However, designing a good consent form is highly challenging. The addition of graphics, video, and other mediums to use can vary widely in effectiveness; and improper use can be detrimental to users. This study aims to explore the expectations and experiences of adults toward consent given in infographic, video, text, newsletter, and comic forms in a health data sharing scenario to better understand the appropriateness of different mediums and identify elements of each medium that most affect engagement with the content. We designed mock consent forms in infographic, video, text, newsletter, and comic versions. Semistructured interviews were conducted with adults who were interviewed about their expectations for consent and were then shown each consent medium and asked about engaging elements across mediums, preferences for consent mediums, and the value of document quality criteria. We transcribed and qualitatively co-coded to identify themes and perform analyses. We interviewed 24 users and identified different thematic archetypes based on participant goals, such as the Trust Seeker, who considered their own understanding and trust in organizations when making decisions. The infographic was ranked first for enhancing understanding, prioritizing information, and maintaining the proper audience fit for serious consent in health data sharing scenarios. In addition, specific elements such as structure, step-by-step organization, and readability were preferred engaging elements. We identified archetypes to better understand user needs and elements that can be targeted to enhance user engagement with consent forms; this can help inform the design of more effective consent in the future. Overall, preferences for mediums are highly contextual, and more research should be done.

Examining the opportunities for digital text production in the Australian Curriculum for the first years of school

Digital technology has long been ubiquitous in many communities within Australia and internationally, thereby requiring suitable digital proficiencies. While a majority of Australian children experience digital literacies as part of their everyday lives, limitations in access disadvantage others. In educational settings, there is a clear need for teachers to incorporate the digital literacies of learners while also working towards addressing inequities by providing rich literacy experiences that bring together print and digital forms of texts. Well-established understandings about the importance of literacy development early in a child’s life support teachers of the first years of school to teach essential digital literacies. In Australian schools, teachers are mandated by a range of documents, including the Australian Curriculum, that provide content for teachers to teach. Situated within a frame of New Literacies theories, this paper reports findings from analyses of the ways these mandated documents may support teachers in the first years of school to design learning experiences that respond to learners’ needs in producing digital texts. We then determine implications for teachers’ responsiveness to these documents. With the recent release of the Australian Curriculum version 9.0, we argue for the pedagogical knowledge that teachers require to implement digital text production experiences within the mandates of the curriculum and, consequently, the professional learning they need for realising the potential of all children’s digital capabilities in their classrooms.

Image Text Detection and Conversion into Text Form

We are purposing a system by which we can detect the image text and convert into the text form for which we firstly apply MSER (Maximally Stable External Region) which is used as a method of blob detection in images, or to detect character candidates. After that some text features by which the text can be recognized. To recognize the text feature we apply some geometric filtration by which we can easily identified the character from the image. This is why all the character is formed by combination of geometric figures. After recognizing the text, reject the false positives i.e. background, figures, and many things expect character. Performing all these we apply OCR function by which Segmenting out the text from a cluttered scene helps with related tasks. Lastly after finding all these we have the text which is in text form which is easily modified and editable. Key Words: Image Processing, OCR

GRAPHIC SUPPORT FOR THE OPERATION OF AIRCRAFT POWER UNITS

The main task of operators is to maintain the airworthiness of aircraft by implementing the technologies outlined in the sets of documents attached to standard products.Engines, the main source of energy for flight, usually work in conjunction with many systems, each of which, in turn, is accompanied by instructions and manuals to ensure operability. In accordance with accepted practice, most of the disaggregated information is provided in text form. These forces you to remember the necessary data or constantly search for it in dozens of updated and replaced pages of the provided technologies, or create your own convenient techniques that allow you to conduct parametric analyzes and develop decisions on control actions to correct the technical condition. Using examples of power plants with turboprop engines, approaches to the development and application of step-by-step unified graphical generalizations of processes and control parameter values, combined with indications of characteristics setting elements, are proposed. For the full cycle of work, the article proposes the most convenient, applicable to different types of power plants, unified method for constructing compact representations of all information in a generalized form. Recommendations have been developed for monitoring, adjusting characteristics and making decisions on the prospects for further operation.The methods have been tested under operating conditions, having confirmed their convenience and effectiveness at different stages of operation, and can be recommended for inclusion in Flight Operations Manuals created by airlines in relation to the range of operating conditions of their aircraft fleet.

Preservation of Intangible Ethnocultural Heritage in the Electronic Environment

The article considers the issues of preserving and updating the ethnocultural heritage of the peoples of the Russian Federation within the framework of the activities of museums, houses of folk art, higher educational institutions, academic research institutes. Institutions for which the preservation of cultural heritage is not the main essential activity, but has recently been actively developing, are characterized. These are federal and national universities and research institutes of the Russian academy of sciences. Universities integrate successfully knowledge related to intangible cultural heritage into educational programs. Research institutes have become reference bases in their regions in the study and preservation of national languages as objects of intangible cultural heritage, national literature and ethnography. The prospects for such activities of libraries are considered, a new role of which is given in the Federal Law N 402-FL “On the intangible ethnocultural property of the Russian Federation”. The possibility of digitizing and forming digital collections of objects of intangible cultural heritage recorded in the form of texts and static images in libraries, as well as information objects existing in the form of temporary representation (recording of musical works, dances, folklore) has been identified. Particular attention in digitization in libraries should be paid to funds on national languages, collections of audio recordings of folk music and ethnographic collections. Examples of the practice of presenting intangible ethnocultural heritage on federal and regional portals/sites are given.

Changes to Domestic Spaces and Home-Based Business in Ho Chi Minh City: A Case Study of Nguyen Thien Thuat Apartment Blocks

This article examines the impact of home-based business on spatial changes and architectural transformation in old apartment buildings, locally called Chung Cu, an under-studied housing typology in Ho Chi Minh City (HCMC). This article elucidates how looking into local ideas and practices of domestic spaces with home-based businesses can broaden existing scholarship on home culture. The term ‘home-based business’ is used in this article to describe commercial and business activities run by local residents in their homes. This article analyzed and presented first-hand data in both textual and visual forms and suggests that given the historical and social changes, particularly since the 1960s, the resilience, and persistence of home-based business, as a constituent of local life in HCMC, have significantly contributed to the making and transformation of domestic spaces in the city.

Islamic Education Methods For The Millennial Generation In The Perspective Of The Quran And Hadith

Educational methods are fundamental for achieving learning outcomes, also for creating active and effective learning, and encouraging students so they can explore and develop their talents and abilities. Starting from intelligence, personality, morals, and skills that are beneficial for oneself and society. This research uses qualitative research methods through literature study with a descriptive-narrative approach and data collection techniques in the form of reading texts related to the required data. The collected data is classified into sub-discussions and analyzed using content analysis techniques, then arranged descriptively narratively into a systematic article. This research aims to describe what Islamic education methods are suitable for the millennial generation from the perspective of the Koran and Hadith. This article produces the result that Islamic education methods are still very valid and can be applied at all times to anyone and at any time by the Koran and hadith. The results of this research show that the Islamic education method is a method of regular and systematic education by what is taught in the Islamic religion which is based on the Koran and hadith. And this Islamic education method is also very suitable for millennial generation children, such as the exemplary method (al-uswah al-hasanah), the lecture method, the discussion/dialogue method, and the targhib and tarhib methods. Keywords: Islamic Education Methods, Millennial Generation, in the Perspective of the Alquran and Hadith

Diksi, Gaya Bahasa, dan Citraan dalam Cerkak Pacarku Aneh Karya Lina Maisaroh (Kajian Stilistika)

This study discusses diction, language style, and imagery in a story entitled “Pacarku Aneh” by Lina Maisaroh. The theory used is a stylistic study. The purpose of this study is to: describe the diction, style, and imagery contained in the cerkak. The method used in this study is a qualitative descriptive method, with the analysis technique carried out as reading and understanding the contents of the ingenuity. The research data is in the form of a short text sourced from the kompasiana web published in 2021 with the theme of love. The data collection technique used is a reading and recording technique. Data analysis techniques use interactive descriptive techniques that include data reduction, data classification, and conclusion. The result of this study is in a story entitled My Strange Boyfriend by Lina Maisaroh using denotative diction, connotative diction, auditory imagery, visual imagery, motion imagery, allegory language style, and affirmative language style.

Religious Moderation Through Aqidah And Akhlak Learning In Islamic Elementary School

Religious moderation through learning aqidah morals at Madrasah Ibtidaiyah is an effort to form a young generation who has a balanced understanding of religion, is tolerant, and can interact with people across religions. In this research, researchers used a library study method which analyzed data in the form of text directly. Madrasah Ibtidaiyah, as a basic Islamic educational institution, has a key role in forming children's character and moderate understanding of religion. In the context of learning moral beliefs at Madrasah Ibtidaiyah, religious moderation is an important foundation for forming a young generation that is tolerant and capable of establishing harmonious relationships with various levels of society. By involving teachers, curriculum, and the school environment, Madrasah Ibtidaiyah can become an educational institution that promotes religious moderation effectively and plays an important role in building a more inclusive and harmonious society. Keywords: Religious Moderation, Islamic Religious Education

Feature selection for sentiment analysis using hybrid multiobjective evolutionary algorithm

As the volume of data continues to grow, the significance of text classification is on the rise. This vast amount of data majorly exists in the form of texts. Effective data preparation is essential to extract sentiment data from this vast amount of text, as irrelevant and redundant information can impede valuable insights. Feature selection is an important step in the data preparation phase as it eliminates irrelevant and insignificant features from the huge features set. There exist a large body of work related to feature selection for image processing but limited research is done for text data. While some studies recognize the significance of feature selection in text classification, but there is still need for more efficient sentiment analysis models that optimize feature selection and reduce computational. This manuscript aims to bridge these gaps by introducing a hybrid multi-objective evolutionary algorithm as a feature selection mechanism, combining the power of multiple objectives and evolutionary processes. The approach combines two feature selection techniques within a binary classification model: a filter method, Information Gain (IG), and an evolutionary wrapper method, Binary Multi-Objective Grey Wolf Optimizer (BMOGWO). Experimental evaluations are conducted across six diverse datasets. It achieves a reduction of over 90 percent in feature size while improving accuracy by nearly nine percent. These results showcase the model’s efficiency in terms of computational time and its efficacy in terms of higher classification accuracy which improves sentiment analysis performance. This improvement can be beneficial for various applications, including recommendation systems, reviews analysis, and public opinion observation. However, it’s crucial to acknowledge certain limitations of this study. These encompass the need for broader classifier evaluation, and scalability considerations with larger datasets. These identified limitations serve as directions for future research and the enhancement of the proposed approach.

Comparative evaluation of a language model and human specialists in the application of European guidelines for the management of inflammatory bowel diseases and malignancies.

Society guidelines on colorectal dysplasia screening, surveillance, and endoscopic management in inflammatory bowel disease (IBD) are complex, and physician adherence to them is suboptimal. We aimed to evaluate the use of ChatGPT, a large language model, in generating accurate guideline-based recommendations for colorectal dysplasia screening, surveillance, and endoscopic management in IBD in line with European Crohn's and Colitis Organization (ECCO) guidelines. 30 clinical scenarios in the form of free text were prepared and presented to three separate sessions of ChatGPT and to eight gastroenterologists (four IBD specialists and four non-IBD gastroenterologists). Two additional IBD specialists subsequently assessed all responses provided by ChatGPT and the eight gastroenterologists, judging their accuracy according to ECCO guidelines. ChatGPT had a mean correct response rate of 87.8%. Among the eight gastroenterologists, the mean correct response rates were 85.8% for IBD experts and 89.2% for non-IBD experts. No statistically significant differences in accuracy were observed between ChatGPT and all gastroenterologists (P=0.95), or between ChatGPT and the IBD experts and non-IBD expert gastroenterologists, respectively (P=0.82). This study highlights the potential of language models in enhancing guideline adherence regarding colorectal dysplasia in IBD. Further investigation of additional resources and prospective evaluation in real-world settings are warranted.

Research of news text classification method based on hierarchical semantics and prior correction

News text is an important branch of natural language processing. Compared to ordinary texts, news text has significant economic and scientific value. The characteristics of news text include structural hierarchy, diverse label categories, and limited high-quality annotation samples. Many machine learning and deep learning methods exist to analyze various forms of news text. However, due to label imbalance, hierarchical semantics, and confusing labels, current methods have limitations. Therefore, this paper proposes a news text classification framework based on hierarchical semantics and prior correction (HSPC). Firstly, data augmentation is used to enhance the diversity of the training set and adversarial learning is employed to improve the resistance of the model with its robustness. Then, a hierarchical feature extraction approach is employed to extract semantic features from different levels of news texts. Consequentially, a feature fusion method is designed to allow the model to focus on relevant hierarchical semantics for label classification. Finally, highly confusing label predictions are corrected to optimize the label prediction of the model and improve confidence. Multiple experiments are performed on four widely used public datasets. The experimental results indicate that HSPC achieves higher classification accuracy compared to other models. On the FCT, AGNews, THUCNews, and Ohsumed datasets, HSPC improves the accuracy by 1.03%, 1.38%, 2.55%, and 1.15%, respectively, compared to state-of-the-art methods. This validates the rationality and effectiveness of the designed mechanisms.

The Mode Exploration of Combining Chinese Traditional Culture Content with Computer Aided Instruction in Moral Education of Colleges and Universities

According to the characteristics of learning style, this paper classifies the traditional cultural classics according to the school. Audio, video, text, pictures and other forms are collected to match students' learning styles. The system uses the three-layer structure of My Batis+ Spring MVC, and uses Ajax+ Free marker+ JS technology, MySQL database, Apache Tomcat8 manager, Eclipse development platform, WebStorm and other network front-end development tools. In addition, auxiliary tools such as Camtasia Studio and PhotoshopCS5 are used to generate prototype systems for traditional culture learning. Its data processing is fast.